A novel self-training semi-supervised deep learning approach for machinery fault diagnosis

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis

(2021) Bo Zhao et al.   JOURNAL OF MANUFACTURING SYSTEMS

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance

(2021) Haidong Shao et al.   Information Fusion

Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder

(2020) Chengyi Zhang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment

(2020) Yuyan Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis based on the quantification of the fault features in a rotary machine

(2020) Jongsu Lee et al.   APPLIED SOFT COMPUTING

A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions

(2020) Zheng Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots

(2020) Jianyu Long et al.   JOURNAL OF MANUFACTURING SYSTEMS

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

(2020) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

(2020) Xiaoli Zhao et al.   IEEE Transactions on Industrial Informatics

Ensemble semi-supervised Fisher discriminant analysis model for fault classification in industrial processes

(2019) Junhua Zheng et al.   ISA TRANSACTIONS

In-Service Wind Turbine DFIG Diagnosis Using Current Signature Analysis

(2019) Estefania Artigao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers

(2019) Jianyu Long et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

(2019) Jianyu Long et al.   IEEE Transactions on Industrial Informatics

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Unsupervised Person Re-identification

(2018) Hehe Fan et al.   ACM Transactions on Multimedia Computing Communications and Applications

Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines

(2018) Houman Hanachi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

(2018) Roozbeh Razavi-Far et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment

(2017) Yang Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Semi-supervised vibration-based classification and condition monitoring of compressors

(2017) Primož Potočnik et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS